Parking space dynamic allocation method based on LOF and Euclidean distance

A dynamic parking space allocation method based on LOF and Euclidean distance is characterized by mainly comprising the following steps: 1, establishing a two-dimensional coordinate system according to the layout of a parking lot, meshing the coordinate system, and dividing the coordinate system int...

Full description

Saved in:
Bibliographic Details
Main Authors XUE SHANLIANG, MAO QINGQING, FANG DANFENG, GE JIACHEN
Format Patent
LanguageChinese
English
Published 09.04.2024
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:A dynamic parking space allocation method based on LOF and Euclidean distance is characterized by mainly comprising the following steps: 1, establishing a two-dimensional coordinate system according to the layout of a parking lot, meshing the coordinate system, and dividing the coordinate system into independent distribution units; 2, calculating the outlier degree of the gridded empty parking space by using LOF; 3, the Euclidean distance between the parking space and the entrance and exit is calculated; 4, performing dimensionless processing on the two obtained indexes by adopting a fuzzy quantization method; 5, performing weighted calculation on the two results to generate a final comprehensive evaluation index, and selecting the empty parking space with the highest score in the current round as a final distribution result according to a comprehensive evaluation score result; and 6, performing iterative optimization calculation according to the real-time parking space arrangement condition to realize dynami
Bibliography:Application Number: CN202410026496